Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation:
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2023
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext Volltext |
| Beschreibung: | 1 Online-Ressource |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV049879128 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 240920s2023 gw o|||| 00||| eng d | ||
| 015 | |a 23,O04 |2 dnb | ||
| 016 | 7 | |a 1282975404 |2 DE-101 | |
| 024 | 7 | |a urn:nbn:de:bvb:29-opus4-218222 |2 urn | |
| 035 | |a (OCoLC)1466920451 | ||
| 035 | |a (DE-599)DNB1282975404 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |8 3\p |a eng | |
| 044 | |a gw |c XA-DE-BY | ||
| 049 | |a DE-29 | ||
| 084 | |8 1\p |a 616.8 |2 23ksdnb | ||
| 084 | |8 2\p |a 610 |2 23sdnb | ||
| 100 | 1 | |a Barany, Laszlo |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation |c Laszlo Barany, Nirjhar Hore, Andreas Stadlbauer, Michael Buchfelder, Sebastian Brandner |
| 264 | 1 | |a Erlangen ; Nürnberg |b Friedrich-Alexander-Universität Erlangen-Nürnberg |c 2023 | |
| 300 | |a 1 Online-Ressource | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 583 | 1 | |a Archivierung/Langzeitarchivierung gewährleistet |5 DE-101 |2 pdager | |
| 653 | |a deep learning | ||
| 653 | |a tractography | ||
| 653 | |a magnetic resonance imaging | ||
| 653 | |a corticospinal tract | ||
| 700 | 1 | |a Hore, Nirjhar |e Verfasser |4 aut | |
| 700 | 1 | |a Stadlbauer, Andreas |e Verfasser |4 aut | |
| 700 | 1 | |a Buchfelder, Michael |e Verfasser |4 aut | |
| 700 | 1 | |a Brandner, Sebastian |e Verfasser |4 aut | |
| 787 | 0 | 8 | |i Sonderdruck aus |t Diagnostics |g Vol. 13 (2023) |o 10.3390/diagnostics13050911 |
| 856 | 4 | 0 | |u https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-218222 |x Resolving-System |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |u https://d-nb.info/1282975404/34 |x Langzeitarchivierung Nationalbibliothek |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |q application/pdf |u https://open.fau.de/handle/openfau/21822 |x Verlag |z kostenfrei |3 Volltext |
| 883 | 0 | |8 1\p |a emakn |c 0,07741 |d 20230311 |q DE-101 |u https://d-nb.info/provenance/plan#emakn | |
| 883 | 0 | |8 2\p |a emasg |c 0,69877 |d 20230311 |q DE-101 |u https://d-nb.info/provenance/plan#emasg | |
| 883 | 1 | |8 3\p |a npi |d 20230310 |q DE-101 |u https://d-nb.info/provenance/plan#npi | |
| 912 | |a ebook | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035218528 | |
Datensatz im Suchindex
| _version_ | 1817696779577065472 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Barany, Laszlo Hore, Nirjhar Stadlbauer, Andreas Buchfelder, Michael Brandner, Sebastian |
| author_facet | Barany, Laszlo Hore, Nirjhar Stadlbauer, Andreas Buchfelder, Michael Brandner, Sebastian |
| author_role | aut aut aut aut aut |
| author_sort | Barany, Laszlo |
| author_variant | l b lb n h nh a s as m b mb s b sb |
| building | Verbundindex |
| bvnumber | BV049879128 |
| collection | ebook |
| ctrlnum | (OCoLC)1466920451 (DE-599)DNB1282975404 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV049879128</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">240920s2023 gw o|||| 00||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">23,O04</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1282975404</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:bvb:29-opus4-218222</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1466920451</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1282975404</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BY</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">1\p</subfield><subfield code="a">616.8</subfield><subfield code="2">23ksdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">2\p</subfield><subfield code="a">610</subfield><subfield code="2">23sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Barany, Laszlo</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation</subfield><subfield code="c">Laszlo Barany, Nirjhar Hore, Andreas Stadlbauer, Michael Buchfelder, Sebastian Brandner</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Erlangen ; Nürnberg</subfield><subfield code="b">Friedrich-Alexander-Universität Erlangen-Nürnberg</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="583" ind1="1" ind2=" "><subfield code="a">Archivierung/Langzeitarchivierung gewährleistet</subfield><subfield code="5">DE-101</subfield><subfield code="2">pdager</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">tractography</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">magnetic resonance imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">corticospinal tract</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hore, Nirjhar</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Stadlbauer, Andreas</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Buchfelder, Michael</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Brandner, Sebastian</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="787" ind1="0" ind2="8"><subfield code="i">Sonderdruck aus</subfield><subfield code="t">Diagnostics</subfield><subfield code="g">Vol. 13 (2023)</subfield><subfield code="o">10.3390/diagnostics13050911</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-218222</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://d-nb.info/1282975404/34</subfield><subfield code="x">Langzeitarchivierung Nationalbibliothek</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="q">application/pdf</subfield><subfield code="u">https://open.fau.de/handle/openfau/21822</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">emakn</subfield><subfield code="c">0,07741</subfield><subfield code="d">20230311</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emakn</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">emasg</subfield><subfield code="c">0,69877</subfield><subfield code="d">20230311</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emasg</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">npi</subfield><subfield code="d">20230310</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#npi</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035218528</subfield></datafield></record></collection> |
| id | DE-604.BV049879128 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-06T13:12:13Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035218528 |
| oclc_num | 1466920451 |
| open_access_boolean | 1 |
| owner | DE-29 |
| owner_facet | DE-29 |
| physical | 1 Online-Ressource |
| psigel | ebook |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Friedrich-Alexander-Universität Erlangen-Nürnberg |
| record_format | marc |
| spelling | Barany, Laszlo Verfasser aut Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation Laszlo Barany, Nirjhar Hore, Andreas Stadlbauer, Michael Buchfelder, Sebastian Brandner Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2023 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager deep learning tractography magnetic resonance imaging corticospinal tract Hore, Nirjhar Verfasser aut Stadlbauer, Andreas Verfasser aut Buchfelder, Michael Verfasser aut Brandner, Sebastian Verfasser aut Sonderdruck aus Diagnostics Vol. 13 (2023) 10.3390/diagnostics13050911 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-218222 Resolving-System kostenfrei Volltext https://d-nb.info/1282975404/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/21822 Verlag kostenfrei Volltext 1\p emakn 0,07741 20230311 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,69877 20230311 DE-101 https://d-nb.info/provenance/plan#emasg 3\p npi 20230310 DE-101 https://d-nb.info/provenance/plan#npi |
| spellingShingle | Barany, Laszlo Hore, Nirjhar Stadlbauer, Andreas Buchfelder, Michael Brandner, Sebastian Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation |
| title | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation |
| title_auth | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation |
| title_exact_search | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation |
| title_full | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation Laszlo Barany, Nirjhar Hore, Andreas Stadlbauer, Michael Buchfelder, Sebastian Brandner |
| title_fullStr | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation Laszlo Barany, Nirjhar Hore, Andreas Stadlbauer, Michael Buchfelder, Sebastian Brandner |
| title_full_unstemmed | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation Laszlo Barany, Nirjhar Hore, Andreas Stadlbauer, Michael Buchfelder, Sebastian Brandner |
| title_short | Prediction of the Topography of the Corticospinal Tract on T1-Weighted MR Images Using Deep-Learning-Based Segmentation |
| title_sort | prediction of the topography of the corticospinal tract on t1 weighted mr images using deep learning based segmentation |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-218222 https://d-nb.info/1282975404/34 https://open.fau.de/handle/openfau/21822 |
| work_keys_str_mv | AT baranylaszlo predictionofthetopographyofthecorticospinaltractont1weightedmrimagesusingdeeplearningbasedsegmentation AT horenirjhar predictionofthetopographyofthecorticospinaltractont1weightedmrimagesusingdeeplearningbasedsegmentation AT stadlbauerandreas predictionofthetopographyofthecorticospinaltractont1weightedmrimagesusingdeeplearningbasedsegmentation AT buchfeldermichael predictionofthetopographyofthecorticospinaltractont1weightedmrimagesusingdeeplearningbasedsegmentation AT brandnersebastian predictionofthetopographyofthecorticospinaltractont1weightedmrimagesusingdeeplearningbasedsegmentation |